CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
This toolkit improves efficiency for developers and researchers in machine translation, but it is incremental as it focuses on implementation rather than novel methods.
The paper introduces CytonMT, an open-source neural machine translation toolkit implemented in C++ with GPU acceleration, which accelerates training speed by 64.5% to 110.8% and achieves competitive translation quality.
This paper presents an open-source neural machine translation toolkit named CytonMT (https://github.com/arthurxlw/cytonMt). The toolkit is built from scratch only using C++ and NVIDIA's GPU-accelerated libraries. The toolkit features training efficiency, code simplicity and translation quality. Benchmarks show that CytonMT accelerates the training speed by 64.5% to 110.8% on neural networks of various sizes, and achieves competitive translation quality.